
Enhancing the efficiency of optimal placement of agricultural crops in desert regions requires modern technologies. Digital geographic information systems and cloud computing technologies play a significant role in this field, enabling data-driven decision-making. This article presents the concept of developing an online system for the optimal placement of agricultural crops using the capabilities of Google Earth Engine (GEE) and ArcGIS Online Dashboard.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
